Reconfigurable Intelligent Surface Enabled IoT Networks in Generalized Fading Channels

Makarfi, Abubakar U.; Rabie, Khaled M.; Kaiwartya, Omprakash; Badarneh, Osamah S.; Li, Xingwang; Kharel, Rupak

doi:10.1109/icc40277.2020.9148610

Cited by 51 publications

(39 citation statements)

References 21 publications

(19 reference statements)

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“…In massive power-constrained internet-of-things (IoT) networks, the enhanced energy and spectral efficiency can be achieved by limiting the communication range to short distances. In this respect, LIS is considered as a promising energy-efficient solution to extend the communication range [27]. Multiple LISs can be efficiently utilized in order to connect far IoT devices, and to allow these devices to reliably communicate with higher data rates.…”

Section: A Lis-enabled Noma In Massive Iot Networkmentioning

confidence: 99%

Large Intelligent Surface-Assisted Nonorthogonal Multiple Access for 6G Networks: Performance Analysis

Bariah

Muhaidat

Sofotasios

et al. 2021

IEEE Internet Things J.

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Large intelligent surface (LIS) has recently emerged as a potential enabling technology for 6G networks, offering extended coverage and enhanced energy and spectral efficiency. In this work, motivated by its promising potentials, we investigate the error rate performance of LIS-assisted non-orthogonal multiple access (NOMA) networks. Specifically, we consider a downlink NOMA system, in which data transmission between a base station (BS) and L NOMA users is assisted by an LIS comprising M reflective elements. First, we derive the probability density function of the end-to-end wireless fading channels between the BS and NOMA users. Then, by leveraging the obtained results, we derive an approximate expression for the pairwise error probability (PEP) of NOMA users under the assumption of imperfect successive interference cancellation. Furthermore, accurate expressions for the PEP for M = 1 and large M values (M > 10) are presented in closed-form. To gain further insights into the system performance, an asymptotic expression for the PEP in high signal-to-noise ratio regime, the asymptotic diversity order, and a tight union bound on the bit error rate are provided. Finally, numerical and simulation results are presented to validate the derived mathematical results. Index terms-Asymptotic diversity order, bit error rate, large intelligent surfaces, NOMA, pairwise error probability, union bound, 6G.

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Section: A Lis-enabled Noma In Massive Iot Networkmentioning

confidence: 99%

Large Intelligent Surface-Assisted Nonorthogonal Multiple Access for 6G Networks: Performance Analysis

Bariah

Muhaidat

Sofotasios

et al. 2021

IEEE Internet Things J.

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“…A hardware implementation of the GS-IoT framework was carried out using Arduino based Bluetooth low power enabled sensor nodes in a smart campus environment [40,41]. Ten hardware nodes were added gradually as an overall coverage area in such a way that effective communication was possible [42].…”

Section: Hardware Results Discussionmentioning

confidence: 99%

Grouping and Sponsoring Centric Green Coverage Model for Internet of Things

Kumar

AlShboul

et al. 2021

Sensors

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Recently, green computing has received significant attention for Internet of Things (IoT) environments due to the growing computing demands under tiny sensor enabled smart services. The related literature on green computing majorly focuses on a cover set approach that works efficiently for target coverage, but it is not applicable in case of area coverage. In this paper, we present a new variant of a cover set approach called a grouping and sponsoring aware IoT framework (GS-IoT) that is suitable for area coverage. We achieve non-overlapping coverage for an entire sensing region employing sectorial sensing. Non-overlapping coverage not only guarantees a sufficiently good coverage in case of large number of sensors deployed randomly, but also maximizes the life span of the whole network with appropriate scheduling of sensors. A deployment model for distribution of sensors is developed to ensure a minimum threshold density of sensors in the sensing region. In particular, a fast converging grouping (FCG) algorithm is developed to group sensors in order to ensure minimal overlapping. A sponsoring aware sectorial coverage (SSC) algorithm is developed to set off redundant sensors and to balance the overall network energy consumption. GS-IoT framework effectively combines both the algorithms for smart services. The simulation experimental results attest to the benefit of the proposed framework as compared to the state-of-the-art techniques in terms of various metrics for smart IoT environments including rate of overlapping, response time, coverage, active sensors, and life span of the overall network.

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“…Thus, obtaining asymptotic expression from (16) will help in providing more insight about the system behaviour at high SNR region. Neglecting the last term of (15) gives an accurate end-to-end equivalent CDF at high SNR and can be expressed as [31]:…”

Section: Asymptotic Outage Probabilitymentioning

confidence: 99%

Performance analysis of reconfigurable intelligent surface in a dual-hop DF relay empowered asymmetric RF/FSO networks

et al. 2021

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In this paper, the performance analysis of a reconfigurable intelligent surface (RIS) in a dualhop decode-and-forward (DF) relay empowered asymmetric radio frequency (RF)/free space optical (FSO) systems is presented. The RIS-assisted RF network is subjected to Nakagami-m distribution while the RIS-assisted FSO networks experience Gamma-Gamma distribution in which both atmospheric turbulence and pointing errors are considered. Thus, the closed-form expressions for the system outage probability and average bit error rate (ABER) are derived with limited number of reflecting elements at RIS-assisted RF network and multiple number of reflecting elements at RIS-assisted FSO network. Further, to obtain more insight about the system characteristic, the asymptotic closed-form expressions are derived at high signal-tonoise ratio (SNR) for the system performance metrics. The results illustrate the impact of the system and channel parameters on the proposed system in terms of atmospheric turbulence, pointing errors under beam width condition, 𝑚-fading parameter, and number of reflecting elements. The correctness of the derived analytical expressions is validated via the Monte-Carlo simulations.

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Reconfigurable Intelligent Surface Enabled IoT Networks in Generalized Fading Channels

Cited by 51 publications

References 21 publications

Large Intelligent Surface-Assisted Nonorthogonal Multiple Access for 6G Networks: Performance Analysis

Large Intelligent Surface-Assisted Nonorthogonal Multiple Access for 6G Networks: Performance Analysis

Grouping and Sponsoring Centric Green Coverage Model for Internet of Things

Performance analysis of reconfigurable intelligent surface in a dual-hop DF relay empowered asymmetric RF/FSO networks

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